Triple

T12209721
Position Surface form Disambiguated ID Type / Status
Subject Ian Fletcher E290923 entity
Predicate hasColleague P398 FINISHED
Object Siobhan Sharpe E975249 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Siobhan Sharpe | Statement: [Ian Fletcher, hasColleague, Siobhan Sharpe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Siobhan Sharpe
Context triple: [Ian Fletcher, hasColleague, Siobhan Sharpe]
  • A. Siobhan Sharpe chosen
    Siobhan Sharpe is a brash, jargon-spouting PR and branding consultant character from the British mockumentary sitcom "Twenty Twelve," known for her clueless yet confident approach to media strategy.
  • B. Karen Sharpe
    Karen Sharpe is an American actress best known for her film and television work in the 1950s and 1960s, including roles in comedies and dramas.
  • C. Siobhan Hartnett
    Siobhan Hartnett is an individual notable enough to be recognized as a bearer of the Hartnett surname, though specific public details about her life or achievements are not widely documented.
  • D. Penny Sharpe
    Penny Sharpe is an Australian Labor politician who serves as a senior minister in the New South Wales government.
  • E. Deirdre Blake
    Deirdre Blake is a fictional character appearing in the play "The Humans" by Stephen Karam.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d6ab65923081909acfc61b7a612233 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91c7ed4688190b0546b784e36b0ec completed April 10, 2026, 3:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6345c27508190bd2e9d466ebce73c completed May 2, 2026, 5:29 p.m.
Created at: April 8, 2026, 9:51 p.m.